Skip to content
TrackPodcasts
technologySep 8, 20264:35

RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems,No Migration Required

About this episode

This story was originally published on HackerNoon at: https://hackernoon.com/ravendb-launches-quill-to-bring-production-ai-agents-to-enterprise-sql-systemsno-migration-required.
The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in wee
Check more stories related to undefined at: https://hackernoon.com/c/undefined. You can also check exclusive content about #web3, #sql, #technologywire, #press-release, #sql-server, #sql-database, #sql-beginner-tips, #good-company, and more.

This story was written by: @technology_wire. Learn more about this writer by checking @technology_wire's about page, and for more stories, please visit hackernoon.com.

Get every episode summarized

Each time The Good Tech Companies publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

Transcript ready

48 searchable segments. Every word is indexed and playable.

RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems,No Migration Required

The Good Tech Companies

0:00
4:35

Full transcript

The Good Tech CompaniesRavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems,No Migration Required. Machine-transcribed; use the interactive transcript above to jump the player to any line.

This audio is presented by Hacker Nune, where anyone can learn anything about any technology. RavenDB launches Quill to bring production AI agents to enterprise SQL systems, no migration required. By technology wire. Hedera, Israel, September 8, 2026, technology wire, RavenDB, a NoSQL document database used by more than 12,000 customers. Today announced the launch of ITS new product, Quill, a context layer for SQL databases that makes them ready for production AI agents without migrating the system of record or architecting a custom AI stack. With AI becoming a board-level mandate, CTOs and VPs of engineering are under pressure to ship AI capabilities fast. But for organizations whose mission critical data sits in legacy SQL systems, built years before embeddings or agents existed, AI can't access their data. Modernizing or replacing the systems is expensive, risky, and time-consuming. By the time the system IS updated, nobody remembers what the project was supposed to

achieve or how ROIWA is measured. Recently, a Gardner survey of infrastructure and operations leaders found that one in 5 AI initiatives fail, and only 28% report a positive ROI, which is linked to how well the technology is integrated, governed, and aligned with operational needs, not to the sophistication of the model. As AI becomes the industry standard, organizations have been left without a clear path to deliver, until now. Greater than anyone can stand up in AI demo in an afternoon, but getting that demo into greater than production with data pipelines, semantic search, security, governance, all the greater than plumbing a small proof of concept doesn't need until it has to run at scale. Greater than is the hard part, said Orrin Aeney, founder and CEO of RavenDB. Quill exists greater than because we'd rather hand teams that plumbing already assembled than watch them greater than rebuild the same project after project. You get access to the live data you greater than need, decide the scope on day one, and change it as you go, instead of greater than building everything from scratch. Quill

connects directly to an organization's existing SQL database and puts AkanTech's layer on top of it, making it possible to launch production radiogenc and weeks rather than the 18 to 24 months of a typical in-house build. The source system stays exactly where it is in remains authoritative, and the full AI stack, search, retrieval, and agents that can answer questions are included. Agents built on Quill support web chat, WhatsApp, Telegram, Slack, and discord out of the box. Greater than, with Quill, the plumbing was already there, so we spent our time building the greater than actual feature, said Haggay Albo, CEO at Albo's technologies and holdings, and greater than early adopter of Quill. By default, Quill is governed, sitting between the AI and the source system, and it is built on the assumption that the model itself cannot be trusted with unrestricted access, so organizations decide exactly what an agent can and cannot see, independent of the source database's own permissions. In a healthcare setting, for example, an agent can answer a patient's question

about an upcoming appointment, while prescription data is never part of the dataset IT can query. What is usually a custom security project becomes a configuration choice. Quill is also model agnostic, so teams can use any AI model, switch providers, or run entirely on their own hardware. Quill is now available for organizations running PostgreSQL, SQL Server, or MySQL, with more databases to be supported in the future, and can be deployed in the cloud or on premises to meet data residency or regulatory requirements. To start using Quill today, visit https-slash-ravendb.net-quillabout-ravendb. Ravendb is a hybrid-noesql document database built for modern application development. Used by more than 12,000 customers across 50 industries, Ravendbelps teams move faster with seamless data management across cloud, on-prem, and edge environments. With full text search, automatic indexes, and an easy-to-use studio for monitoring and administration, Ravendb is the

database developer's love and enterprises trust. Learn more at www. Ravendb.net-contact-shonny-ben-hiam-sbh-media-relation-shonny at sbhmedia.com's story was published as a press release by TechnologyWire under Hackernoon Business Blogging Program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit Hackernoon.com to read, write, learn and publish.

More episodes

More from The Good Tech Companies

View all episodes →